{"title":"类人猿表达序列标签库中SSR和SNP/Indel位点的挖掘","authors":"A. Riju, P. Lakshmi, P. Nima, N. Reena, S. Eapen","doi":"10.1145/1722024.1722042","DOIUrl":null,"url":null,"abstract":"The objective of this study is to explore the single sequence repeats (SSRs) and single nucleotide polymorphims (SNPs) in expressed sequence tags (ESTs) of Radopholus similis. We retrieved 7380 EST sequences consisting different tissues/condition libraries from dbEST of National Centre for Biotechnology Information (NCBI). A total of 1449 SSRs were detected by MISA perl script. Hexa-nucleotide repeats (836 nos.) followed by mononucleotide repeats (207 nos.) were found to be more abundant than other types of repeats. Putative SNP/Indels were found out with the help of AutoSNP. As many as 1038 SNPs and 108 small indels (insertion/deletion) were found with a density of one SNP/191 bp and one indel/1.8 kbp. Candidate SNPs were categorized according to nucleotide substitution as either transition (C↔T or G↔A) or transversion (C↔G, A↔T, C↔A or T↔G). We observed a higher number of transversions type substitution (537) than transitions (501). However considering the individual substitutions, G↔A (281) and C↔T (220) were found to be predominant than purine to pyrimidine base substitutions. Since the SSR and SNP markers are invaluable tools for genetic analysis, the identified SSRs and SNPs of R. similis could be used in diversity analysis, genetic trait mapping, association studies and marker assisted selection.","PeriodicalId":39379,"journal":{"name":"In Silico Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/1722024.1722042","citationCount":"0","resultStr":"{\"title\":\"Mining SSR and SNP/Indel sites in expressed sequence tag libraries of Radopholus similis\",\"authors\":\"A. Riju, P. Lakshmi, P. Nima, N. Reena, S. Eapen\",\"doi\":\"10.1145/1722024.1722042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this study is to explore the single sequence repeats (SSRs) and single nucleotide polymorphims (SNPs) in expressed sequence tags (ESTs) of Radopholus similis. We retrieved 7380 EST sequences consisting different tissues/condition libraries from dbEST of National Centre for Biotechnology Information (NCBI). A total of 1449 SSRs were detected by MISA perl script. Hexa-nucleotide repeats (836 nos.) followed by mononucleotide repeats (207 nos.) were found to be more abundant than other types of repeats. Putative SNP/Indels were found out with the help of AutoSNP. As many as 1038 SNPs and 108 small indels (insertion/deletion) were found with a density of one SNP/191 bp and one indel/1.8 kbp. Candidate SNPs were categorized according to nucleotide substitution as either transition (C↔T or G↔A) or transversion (C↔G, A↔T, C↔A or T↔G). We observed a higher number of transversions type substitution (537) than transitions (501). However considering the individual substitutions, G↔A (281) and C↔T (220) were found to be predominant than purine to pyrimidine base substitutions. Since the SSR and SNP markers are invaluable tools for genetic analysis, the identified SSRs and SNPs of R. similis could be used in diversity analysis, genetic trait mapping, association studies and marker assisted selection.\",\"PeriodicalId\":39379,\"journal\":{\"name\":\"In Silico Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/1722024.1722042\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"In Silico Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1722024.1722042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"In Silico Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1722024.1722042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Mining SSR and SNP/Indel sites in expressed sequence tag libraries of Radopholus similis
The objective of this study is to explore the single sequence repeats (SSRs) and single nucleotide polymorphims (SNPs) in expressed sequence tags (ESTs) of Radopholus similis. We retrieved 7380 EST sequences consisting different tissues/condition libraries from dbEST of National Centre for Biotechnology Information (NCBI). A total of 1449 SSRs were detected by MISA perl script. Hexa-nucleotide repeats (836 nos.) followed by mononucleotide repeats (207 nos.) were found to be more abundant than other types of repeats. Putative SNP/Indels were found out with the help of AutoSNP. As many as 1038 SNPs and 108 small indels (insertion/deletion) were found with a density of one SNP/191 bp and one indel/1.8 kbp. Candidate SNPs were categorized according to nucleotide substitution as either transition (C↔T or G↔A) or transversion (C↔G, A↔T, C↔A or T↔G). We observed a higher number of transversions type substitution (537) than transitions (501). However considering the individual substitutions, G↔A (281) and C↔T (220) were found to be predominant than purine to pyrimidine base substitutions. Since the SSR and SNP markers are invaluable tools for genetic analysis, the identified SSRs and SNPs of R. similis could be used in diversity analysis, genetic trait mapping, association studies and marker assisted selection.
In Silico BiologyComputer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍:
The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.